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Hi Community, we are currently hosting a challenge called “Panoptic Scene Graph Generation (PSG) Challenge”, which asks the participants to solve the PSG task: given a complex scene image as the input, the model should interpret the image with several “subject-verb-object” triplets, which should comprehensively cover the relations in the image. The subject/object should be grounded by a pixel-accurate segmentation mask at the same time. The task is based on our ECCV’22 work: Panoptic Scene Graph Generation.
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